ARCHIVE April 29, 2026
April 29, 2026 · AL Cent

Los Angeles Angels vs Chicago White Sox

April 29, 2026Rate FieldPartly Cloudy 51°F · 12 mph, Out To RF
AWAY
Los Angeles Angels
12-20
2
vs
HOME
Chicago White Sox
14-17
3

Starting pitchers

AWAY · LAA
Mitch Farris
Mitch Farris
IP 3.2
HOME · CWS
Erick Fedde
Erick Fedde
IP 7

Lineups

AWAY · LAA
  1. 1 Zach Neto SS
  2. 2 Mike Trout DH
  3. 3 Yoán Moncada 3B
  4. 4 Jorge Soler RF
  5. 5 Jo Adell LF
  6. 6 Josh Lowe CF
  7. 7 Vaughn Grissom 1B
  8. 8 Travis d'Arnaud C
  9. 9 Adam Frazier 2B
HOME · CWS
  1. 1 Chase Meidroth 2B
  2. 2 Miguel Vargas 3B
  3. 3 Munetaka Murakami 1B
  4. 4 Austin Hays DH
  5. 5 Colson Montgomery SS
  6. 6 Edgar Quero C
  7. 7 Derek Hill RF
  8. 8 Luisangel Acuña CF
  9. 9 Sam Antonacci LF

Box score

  12345678910 R
LAA 0001001000 2
CWS 0010000011 3

Manager comparison

Both managers grade C / D- entering this matchup.

AWAY · LAA
Kurt Suzuki
C Lineup 1.4 R Bunts 2.0 R IBBs 2.1 R
HOME · CWS
Will Venable
D- Lineup 3.2 R Bunts 2.2 R IBBs 1.1 R

Recent form

AWAY · LAA
3-7 L1 -10 run diff
LWWLLWLLLL
HOME · CWS
6-4 L3 +9 run diff
LLLWLWWWWW

Season series: 2-4 with LAA listed first across 6 prior meetings.

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Los Angeles Angels
  • Manager lineup cost +0.04 R/G Optimal arrangement projects 3.47 vs actual lineup 3.43
  • Player execution −1.43 R/G Players fell 1.43 short of the lineup's 3.43 projection (scored 2)
  • Game variance −1.47 R/G Total game outcome vs optimal expectation

Grissom HR from the 7-hole

HOME · Chicago White Sox
  • Manager lineup cost +0.02 R/G Optimal arrangement projects 2.82 vs actual lineup 2.81
  • Player execution +0.19 R/G Players exceeded the lineup's 2.81 projection by 0.19 (scored 3)
  • Game variance +0.18 R/G Total game outcome vs optimal expectation

Lineup spots out of order vs season production

COUNTERFACTUAL

Optimal lineups projected 3.5 – 2.8 — actual was 2 – 3.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.